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Concentration polarization of ion-exchange membranes in electrodialysis units limits operational current densities to the underlimiting regime, preventing process intensification by simply increasing ...
Although transition metals constitute less than 0.1% of the total mass within a human body, they have a substantial impact on fundamental biological processes across all kingdoms of life. Indeed, ...
Chronic myeloid leukemia (CML) is driven by the constitutive activity of the BCR-ABL1 fusion oncoprotein. Despite the great success of drugs that target the BCR-ABL1 ATP-binding site in transforming ...
Herein, we discuss advancements in the field of a unique class of antibody–drug conjugates (ADCs) named molecular glue–antibody conjugate (MAC). ADCs traditionally employ cytotoxic agents as payloads, ...
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Kinematic viscosity is a key property for the design of flow systems. This transport property is directly dependent on temperature and concentration and indirectly dependent on molecular interactions ...
Keratinases is a special hydrolytic enzyme produced by microorganisms, which has the ability to catalyze the degradation of keratin. Currently, keratinases show great potential for application in many ...
We show that by modifying the chemical interface of silver nanoparticles (AgNPs) with halide ions, it is possible to tune the total decay rate of adsorbed excited molecules and the plasmon damping ...
Fluorine and nitrogen form a successful partnership in organic synthesis, medicinal chemistry, and material sciences. Although fluorine-nitrogen chemistry has a long and rich history, this field has ...
An adsorbed hydroxide (OHad) layer is formed on platinum electrodes at positive potentials, which affects many important electrochemical reactions, such as the oxygen reduction reaction. The stability ...
Branched allylic esters and carboxylates are fundamental motifs prevalent in natural products and drug molecules. The direct allylic C–H oxygenation of internal alkenes represents one of the most ...
Protein engineering is essential for improving the catalytic performance of enzymes for applications in biocatalysis, in which machine learning provides an emerging approach for variant design.
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